Background: The ability to predict the prognosis of patients with ovarian cancer can greatly improve disease management. However, the knowledge on the mechanism of the prediction is limited. We sought to deconvolute the attention feature learnt by a deep learning convolutional neural networks trained with whole-slide images (WSIs) of hematoxylin-and-eosin (H&E)-stained tumor samples using spatial transcriptomic data.
View Article and Find Full Text PDFThe European hedgehog () is a protected species of conservation concern in the UK. In recent years, there have been multiple incidents of fatal encephalitis in captive hedgehogs in wildlife rescue centers associated with the molecular detection of a hedgehog arterivirus (HhAV-1). However, it remains unclear whether the virus is the causative agent of the central nervous system (CNS) lesions.
View Article and Find Full Text PDFAdult type ovarian granulosa cell tumors (AGCTs) are rare malignancies with the near universal c.C402G (p.Cys134Trp) somatic mutation in FOXL2, a Forkhead box-family transcription factor important for ovarian function.
View Article and Find Full Text PDFCardiac digital twins are computational tools capturing key functional and anatomical characteristics of patient hearts for investigating disease phenotypes and predicting responses to therapy. When paired with large-scale computational resources and large clinical datasets, digital twin technology can enable virtual clinical trials on virtual cohorts to fast-track therapy development. Here, we present an open-source automated pipeline for personalising ventricular electrophysiological function based on routinely acquired magnetic resonance imaging (MRI) data and the standard 12-lead electrocardiogram (ECG).
View Article and Find Full Text PDFObjective: Concurrent with a substantial surge in gun purchases among Americans during COVID-19, there was an escalation of racism and hate crimes in the United States. Despite this disturbing trend, little is known about whether and the extent to which racism experience is linked to gun purchase during the pandemic. This study aims to examine the association between experience of racial discrimination and gun purchase among Americans during COVID-19.
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